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International Development Data Scientist Jobs (NOW HIRING)

Hang

Data Scientist

New York, NY · On-site +1

About the Role As our first Data Scientist, you will leverage data to drive insights and strategies ... Model Development: Develop and implement statistical models and machine learning algorithms to ...

ManTech International

Data Scientist

Arlington, VA · On-site

$75K - $127K/yr

... Development. Your journey to impactful work and rapid growth starts now-be extraordinary at MANTECH! MANTECH International Corporation seeks a motivated, career and customer-oriented Data Scientist ...

ManTech International

Data Scientist

Tampa, FL · On-site

... MANTECH International Corporation! Join a dynamic team dedicated to national security through ... and Software Development. Your journey to impactful work and rapid growth starts now-be ...

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International Development Data Scientist information

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$196.5K

How much do international development data scientist jobs pay per year?

As of Sep 10, 2026, the average yearly pay for international development data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What does an international development data scientist do?

An International Development Data Scientist analyzes data to help solve global challenges such as poverty, health, education, and economic development. They work with organizations like NGOs, governments, and international agencies to collect, clean, and interpret data from diverse sources. Their insights inform policy decisions, program design, and impact evaluations. This role often requires expertise in statistical analysis, programming, and a deep understanding of development issues across different countries.

What types of projects do international development data scientists typically work on, and how do they collaborate with cross-functional teams?

International Development Data Scientists often work on projects that analyze socioeconomic, health, or environmental data to inform policy decisions and program effectiveness in developing regions. They regularly collaborate with field officers, policy experts, and local stakeholders to ensure data collection methods are appropriate and findings are contextually relevant. Their work frequently involves building predictive models, conducting impact evaluations, and translating complex data into actionable insights for non-technical audiences. This cross-disciplinary collaboration is key to ensuring solutions are both data-driven and culturally sensitive.

What are the key skills and qualifications needed to thrive as an international development data scientist, and why are they important?

To thrive as an International Development Data Scientist, you need expertise in statistics, data analysis, and programming (commonly in Python or R), often supported by an advanced degree in data science, economics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), geographic information systems (GIS), and experience with survey platforms or open data sources are typically required. Strong communication, cross-cultural competence, and problem-solving skills help you effectively translate complex data into actionable insights for diverse stakeholders. These skills are vital to ensure data-driven, impactful solutions for development challenges in varied global contexts.

What are popular job titles related to International Development Data Scientist jobs?

For International Development Data Scientist jobs, the most frequently searched job titles are:

Data Scientist - Materials R&D - Remote-Travel

Marysville, MI • On-site, Remote

Intertape Polymer Group (IPG)
Manufacturing • 1 - 5K employees
Learn more about Intertape Polymer Group (IPG)external

Full-time

Re-posted 28 days ago

Key responsibilities

  • Partner with scientists and engineers to support bio-polymer research and development using data-driven methods

  • Analyze and model experimental, formulation, and process data to identify structure-property-process relationships

  • Develop predictive models to support material performance, formulation design, and process optimization

Intertape Polymer Group rating

6.9

Company rating: 6.9 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

Job description

Join the IPG Team!
Are you ready to elevate your career? At IPG, we are more than just a global leader in packaging and protective solutions-we are a community that values safety, people, passion, integrity, performance, and teamwork. From tapes and films to packaging and protective products, as well as engineered coated materials and advanced packaging machinery, we develop innovative solutions that protect the world. Now, we are expanding our global team and looking for talented individuals like you!
This position can be based out of Marysville, MI, or work remotely with some travel as needed.
Title: Senior Data Scientist
Department: Research and Development
Status: Exempt Salaried
Position Purpose: The Senior Data Scientist willsupport R&D efforts in bio-polymers and sustainable materials and focusing on applying advanced data science, statistical modeling, and machine learning to experimental, process, and materials data to accelerate innovation, improve material performance, and reduce development cycles.
Principle Accountabilities
  • Partner with polymer scientists, chemists, and engineers to support bio-polymer research and development using data-driven methods
  • Analyze and model experimental, formulation, and process data to identify structure-property-process relationships
  • Develop predictive models to support:
  • Material performance and property optimization
  • Formulation design and screening
  • Scale-up and process optimization
  • Design and analyze experiments (DOE) to maximize learning efficiency and reduce development timelines
  • Build and maintain reproducible data workflows for R&D data ingestion, cleaning, and analysis
  • Apply machine learning techniques (e.g., regression, classification, clustering, time-series modeling) to complex scientific datasets
  • Collaborate with data engineering and IT teams to enable scalable data infrastructure for R&D
  • Communicate insights, tradeoffs, and recommendations clearly to technical and non-technical stakeholders
  • Understanding of data visualization best practices
  • Experience working with batch or streaming data processes a plus
  • Contribute to data dictionaries and process flow diagrams for complex data solutions
  • Mentor junior data scientists or technical staff and contribute to data science best practices within R&D
  • Stay current with advances in materials informatics, polymer modeling, and applied AI in scientific research

Essential Skills and Experience
  • Bachelor's degree in Data Science, Computer Science, Statistics, Materials Science, Chemical Engineering, or a related field; Master's or PhD preferred
  • 10+ years of professional experience in data science, applied analytics, or scientific computing; experience working with materials science, polymer science or chemical R&D data, preferred
  • Strong proficiency in Python and/or R for data analysis and modeling
  • Solid experience with SQL and working with structured and semi-structured datasets
  • Strong foundation in statistics, experimental design, and multivariate analysis
  • Demonstrated experience applying machine learning to real-world, noisy scientific or experimental data
  • Ability to work effectively in a cross-functional R&D environment
  • Strong communication skills with the ability to translate complex analyses into actionable insights
  • Familiarity with bio-polymers, sustainable materials, or polymer processing, preferred
  • Experience with DOE software, laboratory data management systems (LIMS), or scientific databases, preferred
  • Experience deploying models to support R&D decision-making or manufacturing scale-up, preferred
  • Familiarity with cloud platforms (e.g., AWS, Azure) and data science lifecycle tools, preferred
  • Prior experience mentoring or leading technical projects, preferred

Why Choose IPG?
At IPG, you will find more than just a job-you will find a place where your success is our success. We pride ourselves on a culture built around strong relationships, where every team member plays a crucial role in our growth. Whether it is through cross-department collaboration, continuous training, or sustainability-driven initiatives, we create an environment where you can thrive.
Our commitment to sustainability influences everything we do, from designing eco-friendly products to minimizing waste in our production processes. We are dedicated to building a greener future while providing safe, supportive workplaces for our people.
With over 40 years of industry expertise and a proven track record of growth and innovation, IPG offers a stable, secure environment where you can flourish!
We offer competitive pay, extensive benefits that support you and your family, and exciting career development opportunities. Whether you are looking to enhance your skills or advance your career, we offer ongoing training and the support you need to succeed. Think big, dream bigger, and make an impact with IPG.
You belong here. Join us today!

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